Perspectives on analytics, data science, machine learning, and the reality of building intelligence into organisations — from the front lines, since 2018.
From rule-based segmentation to self-directed AI agents that autonomously explore data, build hypotheses, and surface insights — the shift is happening now across leading financial institutions. A practitioner's perspective on what's real and what's hype.
Traditional RFM misses an entire class of high-potential customer. The RFMC framework surfaces them.
Overfitting, data leakage, and the hidden traps in production ML models that nobody talks about in tutorials.
Companies desperately hiring data scientists while their data strategy isn't even in place. The uncomfortable truth about the AI talent gap.
There is no entry barrier for anyone to start a digital agency. Your proprietary data is the only moat that Google can't replicate.
Generalists given the responsibility to manage analytics find it convenient to outsource everything. I've witnessed the damage first-hand.
"We didn't do anything wrong, but somehow, we lost." — Nokia CEO. Analytics is neither pure business nor pure technology. It is an art.
How to position your BI unit within a governance framework — and why it matters more than your tech stack.